7 дней назад
Staff Data Engineer (AWS)
169 200 - 199 100CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (AWS/Data Platform): Designing and operating scalable batch and real-time data pipelines, self-service tooling, and resilient data integration systems with an accent on reliability, governance, observability, and technical leadership. Focus on establishing SLAs and disaster recovery, enabling trusted data access across engineering and analytics, and mentoring data engineers through complex platform initiatives.
Location: Canada; candidates must be based in Edmonton, Toronto, Vancouver, or Kitchener-Waterloo and attend the office at least one day per week according to the department schedule.
Salary: CAD 169,200–228,900 annual base salary, with a midpoint of CAD 199,100.
Company
provides SaaS technology that helps small home service businesses manage quoting, scheduling, invoicing, payments, and customer relationships.
What you will do
- Design, build, and maintain scalable batch and real-time data pipelines, including data ingestion, CDC, transformation, and data activation.
- Lead the architecture and hands-on development of foundational data integration components and self-service tooling.
- Establish testing, reliability, SLA, disaster recovery, monitoring, logging, lineage, auditing, and governance standards.
- Enable engineering, analytics, data science, and product teams to access and use trusted data efficiently.
- Partner with technical leaders and Technical Program Managers on roadmaps, cross-team initiatives, and platform improvements.
- Mentor data engineers, provide technical direction, and participate in a one-week-at-a-time on-call rotation with occasional weekend support.
Requirements
- Hands-on experience with batch and real-time processing, lakehouse or warehouse management, large-scale transformation, serialization, orchestration, and dimensional modeling.
- Experience designing scalable, maintainable, and high-performance systems using containerization, CI/CD, and API development.
- Strong AWS experience applied to data engineering solutions.
- Expertise in software design, system architecture, coding, technical leadership, and mentoring.
- Experience with infrastructure as code, including Terraform or CloudFormation, plus observability and reliability practices.
- Must be based in Edmonton, Toronto, Vancouver, or Kitchener-Waterloo and able to attend the office at least one day per week.
Nice to have
- Experience with ML platforms and distributed compute frameworks such as Ray, TensorFlow, or PyTorch.
- Experience with Ruby on Rails, TypeScript, React, GraphQL, or API performance optimization.
- Experience building developer tooling or shared platforms for multiple engineering domains.
- Knowledge of data privacy, security, and compliance in cloud-based data environments.
Culture & Benefits
- Transparent, inclusive, collaborative, and innovation-focused work environment.
- Onboarding resources, tutorials, hackathons, buddy support, coaching, and leadership development programs.
- Extended health benefits with fully paid premiums, retirement savings matching, TFSA or FHSA matching, and stock options.
- Time off in lieu for incidents handled outside regular working hours.
- Travel expenses are covered for a pre-approved in-person interview at the nearest office.
Hiring process
- The process may include interviews and an in-person interview at the nearest office.
- Employment is conditional on successfully completing an identity-verification background check.
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